D. Tsuru

21 papers receiving 543 citations

Peers

D. Tsuru
Comparison fields: 5 of 80
  • Oncology 265
  • Cellular and Molecular Neuroscience 128
  • Biotechnology 58
  • Cell Biology 86
  • Molecular Biology 345
Replace Eva Schirmer with:
Eva Schirmer Austria
János Seprődi Hungary
Marija Abramić Croatia
Wanda M. Jones United States
J Kraml Czechia
Mack Sobhany United States
Nami Yabuki Japan
Felicitas Lerner Germany
Anasua B. Kusari United States
Toru Fuwa Japan
D. Tsuru relative to Eva Schirmer Austria Eva Schirmer's profile →
Citations per field
00.5×4.5×
Eva Schirmer · 1×
Citations per year

Countries citing papers authored by D. Tsuru

Since Specialization
Citations

This map shows the geographic impact of D. Tsuru's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Tsuru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Tsuru more than expected).

Fields of papers citing papers by D. Tsuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Tsuru. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Tsuru. The network helps show where D. Tsuru may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Tsuru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Tsuru Line = papers co-authored together D. Tsuru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980154
2 198893
3 199192
4 199167
5 199246
6 199439
7 199927
8 199910
9 197010
10 19705
11 19925
12
Modelling of Ignition and Combustion Characteristics of Heavy Residual Fuel Oil on Two Component Approximation
20094
13 19984
14 19934
15 20014
16 19993
17
[Active site of acid proteases].
19892
18 20241
19
Chemical modification of neutral protease from Bacillus subtilis var. amylosacchariticus: assignment of tyrosyl residues iodinated.
19911
20 20241

About D. Tsuru

D. Tsuru is a scholar working on Molecular Biology, Oncology, Biotechnology, Immunology and Materials Chemistry, having authored 21 papers that have together received 573 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Mast cells and histamine (4 papers), Enzyme Production and Characterization (4 papers), Enzyme Structure and Function (3 papers), Neuropeptides and Animal Physiology (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Advanced Combustion Engine Technologies (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Oncology (265 citations), Cellular and Molecular Neuroscience (128 citations), Biotechnology (58 citations), Cell Biology (86 citations) and Molecular Biology (345 citations). D. Tsuru has collaborated with scholars based in Japan and United States. Frequent co-authors include Tadashi Yoshimoto, Roderich Walter, Ana A. Kitazono, Hiroyuki Nagai, Akio Kanatani, Kiyoshi Ito, Ilona Born, Jochen Heins, K. Neubert and P. Welker. Their work appears in journals such as Journal of Bacteriology, The Journal of Biochemistry, Pharmaceuticals, Photodiagnosis and Photodynamic Therapy and Cell and Tissue Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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